W. Stephen Nichols
- Biomedical Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Richard G. OlsenLawrence E. MathesMaría G. CastroPedro R. LöwensteinGwendalyn D. KingStephen A. GellerElizabeth A. McNielJames F. Curtin
- Topics
- Virus-based gene therapy research (6 papers)Cytomegalovirus and herpesvirus research (5 papers)Polyomavirus and related diseases (4 papers)
- Journals
- SciencePLoS ONEHepatology
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
W. Stephen Nichols
36 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Biomedical Engineering 514
- Cardiology and Cardiovascular Medicine 456
- Molecular Biology 376
- Immunology 341
- Epidemiology 307
Countries citing papers authored by W. Stephen Nichols
This map shows the geographic impact of W. Stephen Nichols's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by W. Stephen Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Stephen Nichols more than expected).
Fields of papers citing papers by W. Stephen Nichols
This network shows the impact of papers produced by W. Stephen Nichols. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by W. Stephen Nichols. The network helps show where W. Stephen Nichols may publish in the future.
Co-authorship network of co-authors of W. Stephen Nichols
This figure shows the co-authorship network connecting the top 25 collaborators of W. Stephen Nichols. A scholar is included among the top collaborators of W. Stephen Nichols based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Stephen Nichols. W. Stephen Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 129 | |
| 2 | 93 | |
| 3 | 27 | |
| 4 | 53 | |
| 5 | 51 | |
| 6 | 7 | |
| 7 | 273 | |
| 8 | Clinical measurement of arterial stiffness obtained from noninvasive pressure waveformsbreakdown → | 821 |
| 9 | 75 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 28 | |
| 15 | 12 | |
| 16 | 54 | |
| 17 | 55 | |
| 18 | 14 | |
| 19 | Detection of Epstein-Barr virus by polymerase chain reaction in transbronchial biopsies of lung transplant recipients: evidence of infection? | 3 |
| 20 | 49 |
About W. Stephen Nichols
W. Stephen Nichols is a scholar working on Virology, Molecular Medicine and Immunology, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Cytomegalovirus and herpesvirus research (5 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (456 citations), Virology (85 citations) and Genetics (191 citations). W. Stephen Nichols has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Richard G. Olsen, Lawrence E. Mathes, María G. Castro, Pedro R. Löwenstein, Gwendalyn D. King, Stephen A. Geller, Elizabeth A. McNiel, James F. Curtin, Jonathan Lerner and John R. Ohlfest. Their work appears in journals such as Science, PLoS ONE and Hepatology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.